Spatial-temporal trajectory data processing method and device and computer storage medium

Abstract

The invention discloses a spatio-temporal trajectory data processing method and device and a computer storage medium, and belongs to the field of data processing. The method comprises the following steps: acquiring first space-time trajectory data, wherein the first space-time trajectory data comprises trajectory point information of a plurality of trajectory points; according to the track point information of the multiple track points, determining the moving speed between every two adjacent track points at the corresponding time point in the multiple track points and the passing state of each track point; determining abnormal track points in the plurality of track points according to the moving speed between every two adjacent track points corresponding to the time points in the plurality of track points and the passing state of each track point; and deleting track point information of abnormal track points in the first space-time track data to obtain second space-time track data. When the error of the space-time trajectory data is large, the abnormal points of the space-time trajectory data are removed firstly, and then the second space-time trajectory data are filtered, so that noise points in the data can be removed more effectively, and the data processing precision is improved.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a processing method, device and computer storage medium for spatio-temporal trajectory data. Background technique [0002] Spatio-temporal trajectory data refers to the data obtained by sampling the movement process of moving objects in the space-time environment, which is used to indicate the trajectory of moving objects. In trajectory analysis scenarios such as classification and pattern mining. [0003] In practical applications, the positioning device can be used to collect the position information of multiple track points during the moving process of the moving object, and the position information of the multiple track points can be used to form spatio-temporal track data according to the order of sampling time. However, in the actual acquisition, the sensor error of the positioning device and other reasons may cause a certain deviation between the position informat...

AI Technical Summary

Problems solved by technology

However, in the actual acquisition, the sensor error of the positioning device and other reasons may cause a certain deviation between the position information of the collected track points and the position information of the real track points, which will lead to the fact that the space-time track data cannot accurately reflect the movement process of the moving object. It is necessary to perform certain processing on the spatio-temporal trajectory data to reduce the data error of the spatio-temporal trajectory data

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